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xlnet-base-cased_winobias_classifieronly – AI Model by henryscheible | AlphaNeural AI
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xlnet-base-cased_winobias_classifieronly
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transformers
pytorch
xlnet
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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xlnet-base-cased_winobias_classifieronly
This model is a fine-tuned version of
xlnet-base-cased
on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
Framework versions
Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.10.1
Tokenizers 0.13.2